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Record W2135729931 · doi:10.1109/test.2006.297722

Massively Parallel Validation of High-Speed Serial Interfaces using Compact Instrument Modules

2006· article· en· W2135729931 on OpenAlexaff
M.M. Hafed, Daniel Watkins, C.K.L. Tam, B. Pishdad

Bibliographic record

VenueProceedings/Proceedings - International Test Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsCMC Microsystems (Canada)
Fundersnot available
KeywordsJitterSerDesComputer scienceInterface (matter)Serial communicationSensitivity (control systems)Key (lock)Computer hardwareElectronic engineeringParallel computingEngineering

Abstract

fetched live from OpenAlex

An extremely dense high-speed serial interface validation tester is presented. By relying on parallelism and on efficient measurement techniques, the proposed tester significantly reduces the time to validate the key parameters for serdes interfaces such as the bit error rate, receiver sensitivity, receiver jitter tolerance, and transmit jitter generation. Key timing specifications include periodic jitter injection with less than 5 psec edge-placement resolution and jitter measurement with 160 fsec sampling delay resolution

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.254
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2006
Admission routes1
Has abstractyes

Explore more

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